Wrik Bhadra
I am a graduate student in the Roy J. Carver Department of Biomedical Engineering at
The University of Iowa, where I work on problems related to medical imaging, specifically injured lung segmentation.
My research interests are in medical imaging, computer vision and machine learning.
Previously, I worked as a Machine Learning Engineer at Rakuten on projects related to
object detection (computer vision) and time-series analysis. I was also part of a research project in Spring 2020
on predicting hemodynamic shock in Intensive Care Units (ICUs).
I received my Master's degree in Computer Science & Engineering from IIIT Delhi, India.
Email  / 
Google
Scholar  / 
GitHub  / 
LinkedIn  / 
CV
|
|
Publications / Patents / Pre-prints
|
|
|
Method, Apparatus, and Computer Readable Medium
Nithish Divakar, Wrik Bhadra
US Patent & Trademark Office (application #: 17/645,726) [filed Dec 2021]
A vision-based automated predictve maintenance system for cellular antenna towers
that detects structural damage (bend) in them and alerts concerned authorities.
acknowledgment
|
|
|
Generalized Prediction of Hemodynamic Shock in Intensive Care Units
Aditya Nagori,
Pradeep Singh,
Sameena Firdos,
Vanshika Vats,
Arushi Gupta,
Harsh Bandhey,
Anushtha Kalia,
Arjun Sharma,
Prakriti Ailavadi,
Raghav Awasthi,
Wrik Bhadra,
Ayushmaan Kaul,
Rakesh Lodha,
Tavpritesh Sethi
AAAS Science Translational Medicine
A study on deep learning-based models for predicting hemodynamic shock in ICUs across different
geographical contexts and age groups.
medRxiv
/ pdf
/ code
|
|
|
Transcriptional advantage influence odorant receptor gene choice
Sanjay Kumar Mohanty, Sidrah Maryam, Vishakha Gautam, Aayushi Mittal, Krishan Gupta,
Radhika Arora, Wrik Bhadra, Tripti Mishra, Debarka Sengupta, Gaurav Ahuja
Briefings in Functional Genomics
Odorant receptors (ORs) obey mutual exclusivity and monoallelic mode of expression.
We developed Reverse Cell Tracking (RCT), a novel computational framework that facilitates
OR-guided cellular backtracking by leveraging Uniform Manifold Approximation and Projection
embeddings from RNA Velocity Workflow.
paper link
|
|
Selected Projects
These include coursework, side projects, reproduced materials and unpublished research work.
|
|
|
Shape priors improve injured lung segmentation in ARDS-afflicted subjects
UIowa COE Research Open House (Spring 2024)
ARDS is a life-threatening condition despite advancements in medical care. CT is used to diagnose ARDS
and study lung heterogeneity. Automated segmentation of lungs in CT images is necessary for efficient
quantitative-CT analysis. But, existing lung segmentation algorithms fail in severe cases of ARDS, where
it is difficult to discriminate consolidated lung from surrounding soft tissue.
poster
|
|
|
Distracted Driver Detection
IIIT Delhi CSE544 (Winter 2019)
Given dashboard images of drivers, our system aims to classify the driver on the basis of 10
predefined actions such as texting, speaking on the phone, reaching backwards etc. to detect
distraction and alert them.
poster / code
|
|
|
Enhanced Pattern Unlocking in Smartphones
IIIT Delhi CSE643 (Monsoon 2018)
To overcome smudge attacks and over-the-shoulder snooping in swipe-based unlocking mechanism in
smartphones, our system considers the actual haptic gesture and speed for authentication.
report / code
|
|
|
Movie Recommendation System
IIIT Delhi CSE542 (Winter 2019)
Revisiting movie recommendation systems by analysing item-based collaborative filtering, wrapper
method for feature selection and other relevant techniques such as kNN similarity.
poster / report / code
|
|
|
The University of Iowa
Mentor, Moderator, Interviewer
Mentored a BME undergrad on a project involving 3D lung segmentation in human CT scans.
Summer 2024
Invited by the BME Department to moderate a session for BME Senior Design Day 2024.
April 2024
Conducted initial discussion-cum-interview for five prospective graduate students.
March 2024 &
Summer 2023
Peer Mentor for two incoming international graduate students under the iPeer Mentorship Program.
Spring 2024 & Fall 2023
|
|
Rakuten India
Interviewer, Mentor, Representative
Conducted technical interviews for a prospective full-time and three intern candidates for a separate
business unit.
Jun 2021 &
Mar 2021
Mentored a CS undergrad intern on a project involving application of image processing techniques.
Nov 2020 - Jan 2021
Attended and manned booth on behalf of Rakuten India as tech representative. certificate
Feb 2020
|
Miscellaneous
-
When I'm not working, I enjoy playing chess (Lichess
profile) and reading experiential & self-developmental books (eg. Deep Work).
-
During my Bachelor's, I took keen interest in the French language that was being offered as part
of our skill development program. I then proceeded to complete DELF A1 at AfdB
Kolkata.
Consequently, je parle un petit peu français!
-
As a reminder, my journey into the field of AI began during undergrad when out of curiosity I registered for Dr. Andrew Ng's popular Machine Learning
course on Coursera. Subsequently realising Python was the language-of-choice, I completed Dr. Charles Severance's Python specialization.
|
|